Optical Ising Computing with Parallel Waveguides and Feedback
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Solution Overview
Problem
The existing optical Ising machines face inefficiencies in operation time due to the serial input of optical signals, leading to increased transmission times and limited computing efficiency when dealing with large numbers of nodes, resulting in a global optimal solution rather than a local optimal solution.
Innovation Solution
An optical computing device utilizing a parametric oscillator array, interaction computing matrix, and feedback modules for parallel processing of optical signals, incorporating waveguides with different materials for heterogeneous integration to enhance computing precision and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all input optical signals are input in series to the optical Ising machine, then the optimal solution obtained is a global optimal solution ensuring computing precision, but the transmission time of input optical signals is increased greatly, limiting operation efficiency
Solution Approach 1:
The patent divides the single serial input path into multiple parallel input paths, allowing optical signals to be input simultaneously through different waveguides. This segmentation enables the system to maintain global optimal solution capability while reducing transmission time, as multiple signals can be processed in parallel rather than sequentially
Solution Approach 2:
The patent transitions from a one-dimensional serial input structure to a multi-dimensional parallel input structure by introducing multiple waveguides that can simultaneously carry optical signals. This dimensional expansion allows the system to process multiple inputs concurrently, resolving the time-delay issue while preserving computational accuracy
2Adaptability or versatility
If a large quantity of input optical signals are introduced to handle large numbers of nodes in the Ising model, then the system can process complex problems, but the transmission time increases significantly, reducing productivity
Solution Approach 1:
The patent segments the input process by providing multiple waveguides that can simultaneously accept optical signals. This allows the system to handle large numbers of nodes and complex problems by distributing inputs across multiple parallel channels, thereby maintaining high problem-processing capability while improving operational productivity through concurrent signal processing
3Measurement precision
If heterogeneous integration with waveguides of different materials is used, then computing precision is enhanced, but device complexity increases
Solution Approach 1:
The patent applies local quality by using different waveguide materials optimized for specific functions: silicon nitride waveguides for low-loss transmission and lithium niobate waveguides for electro-optic modulation. Each material is strategically placed where its properties provide the greatest benefit, enhancing computing precision while managing overall device complexity through targeted material selection
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device achieves high computing precision and efficiency by enabling parallel processing and feedback mechanisms, preventing non-local optimal solutions and reducing signal loss, allowing for compact chip implementation.
Implementation Method 1
The parametric oscillator array is configured to receive a first group of signals, and generate, based on the received first group of signals, a first group of optical signals including a plurality of first optical signals
Implementation Method 2
incorporating waveguides with different materials for heterogeneous integration to enhance computing precision and efficiency
Data Source
AI summary
An optical computing device includes a parametric oscillator array, an interaction computing matrix, a first feedback system coupled to two ends of the parametric oscillator array, and a second feedback system coupled to the parametric oscillator array and the interaction computing array. The parametric oscillator array is configured to receive a first group of signals, and generate a first group of optical signals including a plurality of first optical signals. The interaction computing array is configured to receive the first group of optical signals, and perform matrix operation on the first group of optical signals. The first feedback system is configured to receive the first group of optical signals, and transmit the first group of optical signals to the parametric oscillator array. The second feedback system is configured to receive the second group of optical signals, and transmit the second group of optical signals to the parametric oscillator array.